Manager Healthcare Data Analytics
WFA Digital Insight
The shift towards Aging-In-Place care models is driving demand for skilled healthcare data analysts. With the global healthcare analytics market projected to reach $44.9 billion by 2027, professionals who can harness data to inform personalized care decisions are in high demand. Habitat Health, a pioneer in comprehensive health care for older adults, is seeking a seasoned Manager of Healthcare Data Analytics to lead its data-driven initiatives. As the company continues to redefine aging in place, this role offers a unique opportunity to apply digital skills in a remote setting. Before applying, candidates should be prepared to demonstrate their expertise in healthcare data analysis and their ability to work collaboratively in a remote environment.
Job Description
About the Role
At Habitat Health, the Manager of Healthcare Data Analytics plays a pivotal role in driving the organization's mission to provide personalized, coordinated clinical and social care to older adults. This role entails leading the development and implementation of data analytics strategies to inform care decisions, improve patient outcomes, and optimize operational efficiency. The ideal candidate will have a strong background in healthcare data analysis, with a keen understanding of the complexities of the healthcare system and the ability to communicate insights effectively to both technical and non-technical stakeholders.The Manager of Healthcare Data Analytics will work closely with cross-functional teams, including clinical, operational, and business development teams, to identify areas for improvement and develop data-driven solutions. This role requires strong leadership skills, with the ability to motivate and guide a team of analysts to achieve shared goals. The Manager will also collaborate with external partners, including healthcare providers and technology vendors, to stay abreast of industry trends and best practices.
As a key member of the Habitat Health team, the Manager of Healthcare Data Analytics will have the opportunity to contribute to the development of innovative care models and services that improve the lives of older adults. This role is ideal for a seasoned healthcare data analytics professional who is passionate about using data to drive meaningful change and is looking for a challenging and rewarding opportunity in a remote work environment.
What You Will Do
- Develop and implement data analytics strategies to inform care decisions and improve patient outcomes
- Lead a team of analysts to design, develop, and maintain reports, dashboards, and other data visualizations to support business decisions
- Collaborate with cross-functional teams to identify areas for improvement and develop data-driven solutions
- Work with external partners to stay abreast of industry trends and best practices in healthcare data analytics
- Develop and maintain databases and data systems to support analytics initiatives
- Design and implement data quality and validation processes to ensure accuracy and completeness of data
- Develop and manage budgets for analytics initiatives and ensure effective resource allocation
- Stay up-to-date with emerging trends and technologies in healthcare data analytics and make recommendations for adoption
- Communicate insights and recommendations to senior leadership and other stakeholders
- Develop and implement training programs to enhance analytics capabilities across the organization
What We Are Looking For
- 5+ years of experience in healthcare data analytics, with a strong background in statistical analysis and data modeling
- 3+ years of experience in a leadership role, with proven ability to manage and motivate a team of analysts
- Strong understanding of healthcare data systems, including electronic health records and claims data
- Experience with data visualization tools, such as Tableau or Power BI
- Strong communication and interpersonal skills, with ability to communicate complex data insights to non-technical stakeholders
- Experience with machine learning and predictive analytics techniques
- Strong problem-solving skills, with ability to analyze complex data sets and identify insights and trends
- Experience with data governance and quality control processes
- Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science
Nice to Have
- Experience with cloud-based data platforms, such as AWS or Azure
- Knowledge of programming languages, such as Python or R
- Experience with natural language processing and text analytics
- Certification in data science or a related field
- Experience with agile project management methodologies
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work remotely with a dynamic and growing company
- Comprehensive health insurance and retirement savings plan
- Generous paid time off and holiday schedule
- Professional development opportunities, including training and education programs
- Collaborative and supportive work environment with a team of experienced professionals
- Access to cutting-edge technology and data tools
- Flexible work arrangements, including telecommuting options
- Recognition and reward programs for outstanding performance
- Opportunity to contribute to the development of innovative care models and services that improve the lives of older adults
How to Stand Out
- Ensure your resume and cover letter are tailored to the specific requirements of the role, highlighting your experience in healthcare data analytics and leadership skills.
- Be prepared to discuss your experience with data visualization tools and your ability to communicate complex data insights to non-technical stakeholders.
- Research the company and its mission to demonstrate your understanding of the organization's goals and values.
- Practice answering behavioral interview questions that demonstrate your problem-solving skills and experience working in a remote team environment.
- Consider creating a portfolio of your work, including examples of data visualizations and analytics reports, to showcase your skills and experience.
- Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for professional development.
- Be prepared to negotiate salary and benefits, and have a clear understanding of your worth and the market rate for the role.
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